Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

water_supply is highly overall correlated with Total_Population and 14 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 6 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 12 other fieldsHigh correlation
Female_Population is highly overall correlated with water_supply and 4 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with water_supply and 12 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Power_usage is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Business_above_100 is highly overall correlated with Households and 11 other fieldsHigh correlation
complex_area is highly overall correlated with water_supply and 12 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 12 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with Total_Population and 2 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with water_supply and 12 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 14 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Total_Population and 2 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Average_Temp is highly overall correlated with Monthly_Rainfall and 2 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Monthly_Rainfall and 1 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
Average_Wind is highly overall correlated with Average_Relative_HumadityHigh correlation
Average_Pressure is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
water_supply has unique valuesUnique
Total_Population has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
employment_ratio has unique valuesUnique
employment_insurance_ratio has unique valuesUnique

Reproduction

Analysis started2023-09-01 02:23:42.946124
Analysis finished2023-09-01 02:24:29.318245
Duration46.37 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50459.76
Minimum29105.033
Maximum69355.161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:29.370240image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum29105.033
5-th percentile31426.873
Q139263.051
median51923.828
Q361131.758
95-th percentile65338.591
Maximum69355.161
Range40250.128
Interquartile range (IQR)21868.708

Descriptive statistics

Standard deviation11962.955
Coefficient of variation (CV)0.2370791
Kurtosis-1.4605479
Mean50459.76
Median Absolute Deviation (MAD)10263.788
Skewness-0.22645421
Sum7266205.5
Variance1.4311228 × 108
MonotonicityNot monotonic
2023-09-01T11:24:29.451755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30734.90323 1
 
0.7%
30634.82143 1
 
0.7%
63598.5 1
 
0.7%
59083.6129 1
 
0.7%
63188.4 1
 
0.7%
60644.90323 1
 
0.7%
63602.80645 1
 
0.7%
65406.10714 1
 
0.7%
63488.96774 1
 
0.7%
61062.76667 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
29105.03333 1
0.7%
29172.12903 1
0.7%
29277.6129 1
0.7%
30634.82143 1
0.7%
30734.90323 1
0.7%
31047.70968 1
0.7%
31239.7 1
0.7%
31419.33333 1
0.7%
31469.6 1
0.7%
31508.70968 1
0.7%
ValueCountFrequency (%)
69355.16129 1
0.7%
67796.51613 1
0.7%
67640.12903 1
0.7%
66064.87097 1
0.7%
66023.74194 1
0.7%
65452.36667 1
0.7%
65406.10714 1
0.7%
65357.1 1
0.7%
65233.70968 1
0.7%
65158.96667 1
0.7%

Total_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94242.84
Minimum89678
Maximum97909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:29.532342image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum89678
5-th percentile89940.5
Q192229.25
median94301.5
Q396375.75
95-th percentile97739.35
Maximum97909
Range8231
Interquartile range (IQR)4146.5

Descriptive statistics

Standard deviation2361.7332
Coefficient of variation (CV)0.025060081
Kurtosis-1.1031811
Mean94242.84
Median Absolute Deviation (MAD)2074
Skewness-0.12108429
Sum13570969
Variance5577783.8
MonotonicityNot monotonic
2023-09-01T11:24:29.605667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89752 1
 
0.7%
89678 1
 
0.7%
97219 1
 
0.7%
97250 1
 
0.7%
97319 1
 
0.7%
97306 1
 
0.7%
97416 1
 
0.7%
97356 1
 
0.7%
97111 1
 
0.7%
96913 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
89678 1
0.7%
89752 1
0.7%
89812 1
0.7%
89856 1
0.7%
89918 1
0.7%
89925 1
0.7%
89927 1
0.7%
89933 1
0.7%
89983 1
0.7%
90664 1
0.7%
ValueCountFrequency (%)
97909 1
0.7%
97901 1
0.7%
97861 1
0.7%
97826 1
0.7%
97822 1
0.7%
97787 1
0.7%
97768 1
0.7%
97741 1
0.7%
97730 1
0.7%
97715 1
0.7%

Households
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42676.889
Minimum36506
Maximum47431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:29.685677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum36506
5-th percentile36939.75
Q139584.75
median43414.5
Q345591.75
95-th percentile46892.4
Maximum47431
Range10925
Interquartile range (IQR)6007

Descriptive statistics

Standard deviation3387.9963
Coefficient of variation (CV)0.079387144
Kurtosis-1.3811618
Mean42676.889
Median Absolute Deviation (MAD)3085
Skewness-0.27134874
Sum6145472
Variance11478519
MonotonicityNot monotonic
2023-09-01T11:24:29.762556image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44566 2
 
1.4%
44722 1
 
0.7%
44898 1
 
0.7%
44970 1
 
0.7%
45069 1
 
0.7%
45138 1
 
0.7%
45211 1
 
0.7%
45269 1
 
0.7%
45310 1
 
0.7%
36506 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
36506 1
0.7%
36551 1
0.7%
36645 1
0.7%
36761 1
0.7%
36863 1
0.7%
36894 1
0.7%
36926 1
0.7%
36939 1
0.7%
36944 1
0.7%
37635 1
0.7%
ValueCountFrequency (%)
47431 1
0.7%
47319 1
0.7%
47145 1
0.7%
47074 1
0.7%
47052 1
0.7%
46994 1
0.7%
46896 1
0.7%
46893 1
0.7%
46889 1
0.7%
46848 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2195722
Minimum1.9438131
Maximum2.4585548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:29.842561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.9438131
5-th percentile1.9704622
Q12.1013647
median2.2242664
Q32.349056
95-th percentile2.4345617
Maximum2.4585548
Range0.51474164
Interquartile range (IQR)0.24769131

Descriptive statistics

Standard deviation0.14726642
Coefficient of variation (CV)0.066349008
Kurtosis-1.1162586
Mean2.2195722
Median Absolute Deviation (MAD)0.12565318
Skewness-0.2557806
Sum319.6184
Variance0.021687397
MonotonicityNot monotonic
2023-09-01T11:24:29.917469image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.458554758 1
 
0.7%
2.453503324 1
 
0.7%
2.16871152 1
 
0.7%
2.166020758 1
 
0.7%
2.164087169 1
 
0.7%
2.15904502 1
 
0.7%
2.158181576 1
 
0.7%
2.153369755 1
 
0.7%
2.145198701 1
 
0.7%
2.138887663 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.943813118 1
0.7%
1.946068176 1
0.7%
1.951511295 1
0.7%
1.955857349 1
0.7%
1.959128181 1
0.7%
1.962612248 1
0.7%
1.966860725 1
0.7%
1.970152761 1
0.7%
1.972215697 1
0.7%
1.975901811 1
0.7%
ValueCountFrequency (%)
2.458554758 1
0.7%
2.453503324 1
0.7%
2.450866421 1
0.7%
2.444329588 1
0.7%
2.439437919 1
0.7%
2.438960265 1
0.7%
2.435086389 1
0.7%
2.43463548 1
0.7%
2.434143569 1
0.7%
2.409034144 1
0.7%

Male_Population
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49567.611
Minimum46937
Maximum51470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:30.604418image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum46937
5-th percentile47138.9
Q148733.5
median49799
Q350657.75
95-th percentile51340
Maximum51470
Range4533
Interquartile range (IQR)1924.25

Descriptive statistics

Standard deviation1290.4677
Coefficient of variation (CV)0.026034494
Kurtosis-1.0245062
Mean49567.611
Median Absolute Deviation (MAD)1025
Skewness-0.27952186
Sum7137736
Variance1665306.8
MonotonicityNot monotonic
2023-09-01T11:24:30.683593image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47946 2
 
1.4%
51446 2
 
1.4%
51145 2
 
1.4%
51340 2
 
1.4%
49023 2
 
1.4%
51234 1
 
0.7%
51215 1
 
0.7%
51129 1
 
0.7%
51049 1
 
0.7%
51073 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
46937 1
0.7%
46951 1
0.7%
47030 1
0.7%
47051 1
0.7%
47104 1
0.7%
47109 1
0.7%
47121 1
0.7%
47135 1
0.7%
47161 1
0.7%
47567 1
0.7%
ValueCountFrequency (%)
51470 1
0.7%
51447 1
0.7%
51446 2
1.4%
51405 1
0.7%
51373 1
0.7%
51372 1
0.7%
51340 2
1.4%
51329 1
0.7%
51273 1
0.7%
51235 1
0.7%

Female_Population
Real number (ℝ)

Distinct137
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44675.229
Minimum42727
Maximum46455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:30.758569image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum42727
5-th percentile42823.05
Q143649.25
median44520
Q345735.25
95-th percentile46387.75
Maximum46455
Range3728
Interquartile range (IQR)2086

Descriptive statistics

Standard deviation1106.8844
Coefficient of variation (CV)0.024776245
Kurtosis-1.2264638
Mean44675.229
Median Absolute Deviation (MAD)977
Skewness0.028185558
Sum6433233
Variance1225193.2
MonotonicityNot monotonic
2023-09-01T11:24:30.831952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43425 3
 
2.1%
46375 2
 
1.4%
44431 2
 
1.4%
44920 2
 
1.4%
44465 2
 
1.4%
46415 2
 
1.4%
45859 1
 
0.7%
46182 1
 
0.7%
46141 1
 
0.7%
45982 1
 
0.7%
Other values (127) 127
88.2%
ValueCountFrequency (%)
42727 1
0.7%
42782 1
0.7%
42783 1
0.7%
42804 1
0.7%
42805 1
0.7%
42815 1
0.7%
42818 1
0.7%
42822 1
0.7%
42829 1
0.7%
43097 1
0.7%
ValueCountFrequency (%)
46455 1
0.7%
46439 1
0.7%
46421 1
0.7%
46415 2
1.4%
46412 1
0.7%
46395 1
0.7%
46390 1
0.7%
46375 2
1.4%
46338 1
0.7%
46275 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1095166
Minimum1.0962747
Maximum1.1302739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:30.911141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0962747
5-th percentile1.0994739
Q11.10174
median1.1060856
Q31.1166096
95-th percentile1.127907
Maximum1.1302739
Range0.033999184
Interquartile range (IQR)0.014869628

Descriptive statistics

Standard deviation0.0099287281
Coefficient of variation (CV)0.0089486971
Kurtosis-0.84935725
Mean1.1095166
Median Absolute Deviation (MAD)0.005026357
Skewness0.81216417
Sum159.77039
Variance9.8579643 × 10-5
MonotonicityNot monotonic
2023-09-01T11:24:30.987687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.09627467 1
 
0.7%
1.098860205 1
 
0.7%
1.107637609 1
 
0.7%
1.10739593 1
 
0.7%
1.107657989 1
 
0.7%
1.108472373 1
 
0.7%
1.10939327 1
 
0.7%
1.109967274 1
 
0.7%
1.111935105 1
 
0.7%
1.113051631 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.09627467 1
0.7%
1.097793325 1
0.7%
1.098860205 1
0.7%
1.099024508 1
0.7%
1.099116328 1
0.7%
1.099194019 1
0.7%
1.099294096 1
0.7%
1.099416364 1
0.7%
1.09980013 1
0.7%
1.099815546 1
0.7%
ValueCountFrequency (%)
1.130273854 1
0.7%
1.129893481 1
0.7%
1.129349522 1
0.7%
1.128761435 1
0.7%
1.128572748 1
0.7%
1.128481663 1
0.7%
1.128046029 1
0.7%
1.127967761 1
0.7%
1.12756301 1
0.7%
1.127188727 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct64
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.893056
Minimum15.5
Maximum22.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.069150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum15.5
5-th percentile15.8
Q116.4
median17.1
Q319.125
95-th percentile21.985
Maximum22.5
Range7
Interquartile range (IQR)2.725

Descriptive statistics

Standard deviation1.9525007
Coefficient of variation (CV)0.10912059
Kurtosis-0.27115162
Mean17.893056
Median Absolute Deviation (MAD)1
Skewness0.95454501
Sum2576.6
Variance3.8122591
MonotonicityNot monotonic
2023-09-01T11:24:31.142731image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.1 9
 
6.2%
17 9
 
6.2%
16.8 8
 
5.6%
16.3 8
 
5.6%
16 6
 
4.2%
15.7 5
 
3.5%
15.9 5
 
3.5%
16.6 5
 
3.5%
16.7 4
 
2.8%
17.2 4
 
2.8%
Other values (54) 81
56.2%
ValueCountFrequency (%)
15.5 1
 
0.7%
15.6 1
 
0.7%
15.7 5
3.5%
15.8 2
 
1.4%
15.9 5
3.5%
16 6
4.2%
16.1 4
2.8%
16.2 2
 
1.4%
16.3 8
5.6%
16.4 3
 
2.1%
ValueCountFrequency (%)
22.5 3
2.1%
22.3 1
 
0.7%
22.2 1
 
0.7%
22.1 2
1.4%
22 1
 
0.7%
21.9 1
 
0.7%
21.8 2
1.4%
21.6 1
 
0.7%
21.4 2
1.4%
21.2 1
 
0.7%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2166728 × 108
Minimum1.57674 × 108
Maximum3.0553901 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.220924image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.57674 × 108
5-th percentile1.6929425 × 108
Q11.9479775 × 108
median2.2251176 × 108
Q32.4704293 × 108
95-th percentile2.7023781 × 108
Maximum3.0553901 × 108
Range1.4786501 × 108
Interquartile range (IQR)52245184

Descriptive statistics

Standard deviation32512908
Coefficient of variation (CV)0.14667437
Kurtosis-0.7418298
Mean2.2166728 × 108
Median Absolute Deviation (MAD)27041746
Skewness0.05863927
Sum3.1920088 × 1010
Variance1.0570892 × 1015
MonotonicityNot monotonic
2023-09-01T11:24:31.297150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195381000 1
 
0.7%
180477000 1
 
0.7%
234981820 1
 
0.7%
208965906 1
 
0.7%
246353085 1
 
0.7%
269534067 1
 
0.7%
283133954 1
 
0.7%
270362005 1
 
0.7%
252216556 1
 
0.7%
238929768 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
157674000 1
0.7%
159697000 1
0.7%
160532000 1
0.7%
163132000 1
0.7%
164194000 1
0.7%
166191000 1
0.7%
166837000 1
0.7%
168641000 1
0.7%
172996000 1
0.7%
174755000 1
0.7%
ValueCountFrequency (%)
305539008 1
0.7%
288388187 1
0.7%
286903693 1
0.7%
283133954 1
0.7%
281832487 1
0.7%
277436222 1
0.7%
276480279 1
0.7%
270362005 1
0.7%
269534067 1
0.7%
268999475 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6031
Minimum3667
Maximum11989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.378369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum3667
5-th percentile3963.35
Q14786.25
median6012
Q36946
95-th percentile8702.9
Maximum11989
Range8322
Interquartile range (IQR)2159.75

Descriptive statistics

Standard deviation1635.9399
Coefficient of variation (CV)0.27125516
Kurtosis1.3999681
Mean6031
Median Absolute Deviation (MAD)1177.5
Skewness0.99380471
Sum868464
Variance2676299.3
MonotonicityNot monotonic
2023-09-01T11:24:31.454443image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7696 2
 
1.4%
6931 1
 
0.7%
6503 1
 
0.7%
6532 1
 
0.7%
6311 1
 
0.7%
6467 1
 
0.7%
6661 1
 
0.7%
6388 1
 
0.7%
5988 1
 
0.7%
6263 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
3667 1
0.7%
3733 1
0.7%
3763 1
0.7%
3792 1
0.7%
3797 1
0.7%
3829 1
0.7%
3922 1
0.7%
3962 1
0.7%
3971 1
0.7%
3990 1
0.7%
ValueCountFrequency (%)
11989 1
0.7%
11545 1
0.7%
11434 1
0.7%
9721 1
0.7%
9547 1
0.7%
9122 1
0.7%
8908 1
0.7%
8711 1
0.7%
8657 1
0.7%
8574 1
0.7%

Business_above_100
Real number (ℝ)

Distinct28
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.375
Minimum58
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.522155image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile64.15
Q171.75
median77
Q382
95-th percentile86
Maximum89
Range31
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation6.9673314
Coefficient of variation (CV)0.091225288
Kurtosis-0.37924443
Mean76.375
Median Absolute Deviation (MAD)5
Skewness-0.43085459
Sum10998
Variance48.543706
MonotonicityNot monotonic
2023-09-01T11:24:31.589673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
79 11
 
7.6%
72 11
 
7.6%
71 10
 
6.9%
81 10
 
6.9%
83 9
 
6.2%
74 7
 
4.9%
73 7
 
4.9%
70 7
 
4.9%
84 7
 
4.9%
76 7
 
4.9%
Other values (18) 58
40.3%
ValueCountFrequency (%)
58 1
 
0.7%
59 3
2.1%
62 1
 
0.7%
63 2
 
1.4%
64 1
 
0.7%
65 1
 
0.7%
66 3
2.1%
67 5
3.5%
69 2
 
1.4%
70 7
4.9%
ValueCountFrequency (%)
89 1
 
0.7%
87 6
4.2%
86 6
4.2%
85 4
 
2.8%
84 7
4.9%
83 9
6.2%
82 6
4.2%
81 10
6.9%
80 7
4.9%
79 11
7.6%

complex_area
Real number (ℝ)

Distinct48
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7851682
Minimum5093448
Maximum12500228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.670096image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum5093448
5-th percentile5160977
Q15572474
median6247490
Q39399607
95-th percentile12427620
Maximum12500228
Range7406780
Interquartile range (IQR)3827133

Descriptive statistics

Standard deviation2580377.7
Coefficient of variation (CV)0.32864012
Kurtosis-1.153772
Mean7851682
Median Absolute Deviation (MAD)1119970
Skewness0.60887136
Sum1.1306422 × 109
Variance6.6583491 × 1012
MonotonicityNot monotonic
2023-09-01T11:24:31.749537image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5444591 9
 
6.2%
11334304 9
 
6.2%
5678870 8
 
5.6%
8212113 7
 
4.9%
5572474 6
 
4.2%
5810698 6
 
4.2%
6231669 6
 
4.2%
5538927 6
 
4.2%
9316131 5
 
3.5%
9288069 4
 
2.8%
Other values (38) 78
54.2%
ValueCountFrequency (%)
5093448 3
 
2.1%
5094063 3
 
2.1%
5160977 4
2.8%
5444591 9
6.2%
5538927 6
4.2%
5566026 3
 
2.1%
5567993 3
 
2.1%
5572474 6
4.2%
5603338 1
 
0.7%
5603429 4
2.8%
ValueCountFrequency (%)
12500228 3
2.1%
12497431 4
2.8%
12427876 1
 
0.7%
12426170 2
1.4%
12426073 1
 
0.7%
12425561 1
 
0.7%
12425185 2
1.4%
12425142 1
 
0.7%
12424362 1
 
0.7%
12280216 1
 
0.7%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean987.58333
Minimum776
Maximum1445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.818311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum776
5-th percentile776
Q1801.5
median902
Q31149.25
95-th percentile1445
Maximum1445
Range669
Interquartile range (IQR)347.75

Descriptive statistics

Standard deviation222.75998
Coefficient of variation (CV)0.22556069
Kurtosis-0.75292714
Mean987.58333
Median Absolute Deviation (MAD)109.5
Skewness0.83112198
Sum142212
Variance49622.007
MonotonicityNot monotonic
2023-09-01T11:24:31.872721image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
803 12
8.3%
797 12
8.3%
819 12
8.3%
938 12
8.3%
788 12
8.3%
776 12
8.3%
866 12
8.3%
957 12
8.3%
1117 12
8.3%
1246 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
776 12
8.3%
788 12
8.3%
797 12
8.3%
803 12
8.3%
819 12
8.3%
866 12
8.3%
938 12
8.3%
957 12
8.3%
1117 12
8.3%
1246 12
8.3%
ValueCountFrequency (%)
1445 12
8.3%
1299 12
8.3%
1246 12
8.3%
1117 12
8.3%
957 12
8.3%
938 12
8.3%
866 12
8.3%
819 12
8.3%
803 12
8.3%
797 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean666.58333
Minimum565
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:31.933075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum565
5-th percentile565
Q1635.75
median669
Q3683
95-th percentile750
Maximum750
Range185
Interquartile range (IQR)47.25

Descriptive statistics

Standard deviation50.806847
Coefficient of variation (CV)0.076219797
Kurtosis-0.2890184
Mean666.58333
Median Absolute Deviation (MAD)34.5
Skewness-0.0078453867
Sum95988
Variance2581.3357
MonotonicityNot monotonic
2023-09-01T11:24:31.990901image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
632 12
8.3%
672 12
8.3%
673 12
8.3%
618 12
8.3%
637 12
8.3%
653 12
8.3%
670 12
8.3%
748 12
8.3%
750 12
8.3%
713 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
565 12
8.3%
618 12
8.3%
632 12
8.3%
637 12
8.3%
653 12
8.3%
668 12
8.3%
670 12
8.3%
672 12
8.3%
673 12
8.3%
713 12
8.3%
ValueCountFrequency (%)
750 12
8.3%
748 12
8.3%
713 12
8.3%
673 12
8.3%
672 12
8.3%
670 12
8.3%
668 12
8.3%
653 12
8.3%
637 12
8.3%
632 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65119338
Minimum0.52910959
Maximum0.78866588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:32.051629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.52910959
5-th percentile0.52910959
Q10.587392
median0.61780907
Q30.72849932
95-th percentile0.78866588
Maximum0.78866588
Range0.25955629
Interquartile range (IQR)0.14110732

Descriptive statistics

Standard deviation0.084957092
Coefficient of variation (CV)0.13046369
Kurtosis-1.3560494
Mean0.65119338
Median Absolute Deviation (MAD)0.064720287
Skewness0.30298237
Sum93.771847
Variance0.0072177075
MonotonicityNot monotonic
2023-09-01T11:24:32.110661image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.5735027223 12
8.3%
0.6037735849 12
8.3%
0.6243042672 12
8.3%
0.529109589 12
8.3%
0.5612334802 12
8.3%
0.5920217588 12
8.3%
0.6113138686 12
8.3%
0.6906740536 12
8.3%
0.7225433526 12
8.3%
0.7708108108 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.529109589 12
8.3%
0.5612334802 12
8.3%
0.5735027223 12
8.3%
0.5920217588 12
8.3%
0.6037735849 12
8.3%
0.6113138686 12
8.3%
0.6243042672 12
8.3%
0.6906740536 12
8.3%
0.7225433526 12
8.3%
0.7463672391 12
8.3%
ValueCountFrequency (%)
0.7886658796 12
8.3%
0.7708108108 12
8.3%
0.7463672391 12
8.3%
0.7225433526 12
8.3%
0.6906740536 12
8.3%
0.6243042672 12
8.3%
0.6113138686 12
8.3%
0.6037735849 12
8.3%
0.5920217588 12
8.3%
0.5735027223 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41631292
Minimum28730466
Maximum58596336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:32.168857image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum28730466
5-th percentile28730466
Q132763603
median38627114
Q346830162
95-th percentile58596336
Maximum58596336
Range29865870
Interquartile range (IQR)14066559

Descriptive statistics

Standard deviation9370580.3
Coefficient of variation (CV)0.22508502
Kurtosis-1.1132584
Mean41631292
Median Absolute Deviation (MAD)7045259
Skewness0.35243432
Sum5.994906 × 109
Variance8.7807776 × 1013
MonotonicityNot monotonic
2023-09-01T11:24:32.224889image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
28730466 13
9.0%
30993197 12
8.3%
32763603 12
8.3%
34710816 12
8.3%
36370575 12
8.3%
38627114 12
8.3%
42255023 12
8.3%
45083715 12
8.3%
46830162 12
8.3%
53103826 12
8.3%
Other values (2) 23
16.0%
ValueCountFrequency (%)
28730466 13
9.0%
30993197 12
8.3%
32763603 12
8.3%
34710816 12
8.3%
36370575 12
8.3%
38627114 12
8.3%
42255023 12
8.3%
45083715 12
8.3%
46830162 12
8.3%
53103826 12
8.3%
ValueCountFrequency (%)
58596336 12
8.3%
53581596 11
7.6%
53103826 12
8.3%
46830162 12
8.3%
45083715 12
8.3%
42255023 12
8.3%
38627114 12
8.3%
36370575 12
8.3%
34710816 12
8.3%
32763603 12
8.3%
Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.061111
Minimum39.8
Maximum52.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:32.283264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum39.8
5-th percentile39.8
Q142.7
median43.7
Q348.5
95-th percentile52.2
Maximum52.2
Range12.4
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation3.9353359
Coefficient of variation (CV)0.087333308
Kurtosis-1.0186493
Mean45.061111
Median Absolute Deviation (MAD)3.8
Skewness0.43960077
Sum6488.8
Variance15.486869
MonotonicityNot monotonic
2023-09-01T11:24:32.359437image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
42.7 24
16.7%
39.9 13
9.0%
43.7 12
8.3%
39.8 12
8.3%
49.4 12
8.3%
52.2 12
8.3%
50.6 12
8.3%
48.2 12
8.3%
43.1 12
8.3%
44.5 12
8.3%
ValueCountFrequency (%)
39.8 12
8.3%
39.9 13
9.0%
42.7 24
16.7%
43.1 12
8.3%
43.7 12
8.3%
44.3 11
7.6%
44.5 12
8.3%
48.2 12
8.3%
49.4 12
8.3%
50.6 12
8.3%
ValueCountFrequency (%)
52.2 12
8.3%
50.6 12
8.3%
49.4 12
8.3%
48.2 12
8.3%
44.5 12
8.3%
44.3 11
7.6%
43.7 12
8.3%
43.1 12
8.3%
42.7 24
16.7%
39.9 13
9.0%

employment_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41081.806
Minimum29358
Maximum51407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:32.455601image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum29358
5-th percentile30300.1
Q135110.25
median42211.5
Q346261
95-th percentile50158.6
Maximum51407
Range22049
Interquartile range (IQR)11150.75

Descriptive statistics

Standard deviation6475.552
Coefficient of variation (CV)0.15762579
Kurtosis-1.2349932
Mean41081.806
Median Absolute Deviation (MAD)5731.5
Skewness-0.24227071
Sum5915780
Variance41932774
MonotonicityNot monotonic
2023-09-01T11:24:32.552557image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29358 1
 
0.7%
29731 1
 
0.7%
45130 1
 
0.7%
45429 1
 
0.7%
45373 1
 
0.7%
45556 1
 
0.7%
44444 1
 
0.7%
44667 1
 
0.7%
45166 1
 
0.7%
45403 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
29358 1
0.7%
29731 1
0.7%
29825 1
0.7%
29980 1
0.7%
30092 1
0.7%
30179 1
0.7%
30214 1
0.7%
30262 1
0.7%
30516 1
0.7%
30725 1
0.7%
ValueCountFrequency (%)
51407 1
0.7%
51318 1
0.7%
51179 1
0.7%
50973 1
0.7%
50538 1
0.7%
50437 1
0.7%
50355 1
0.7%
50170 1
0.7%
50094 1
0.7%
50063 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43516843
Minimum0.32710135
Maximum0.5582499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:32.648273image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.32710135
5-th percentile0.33656799
Q10.37848245
median0.43713145
Q30.48160338
95-th percentile0.54382283
Maximum0.5582499
Range0.23114855
Interquartile range (IQR)0.10312094

Descriptive statistics

Standard deviation0.06414036
Coefficient of variation (CV)0.14739203
Kurtosis-1.0352768
Mean0.43516843
Median Absolute Deviation (MAD)0.056428743
Skewness0.093026958
Sum62.664255
Variance0.0041139858
MonotonicityNot monotonic
2023-09-01T11:24:32.752531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3271013459 1
 
0.7%
0.3315305872 1
 
0.7%
0.4642096709 1
 
0.7%
0.4671362468 1
 
0.7%
0.466229616 1
 
0.7%
0.468172569 1
 
0.7%
0.4562289562 1
 
0.7%
0.4588006903 1
 
0.7%
0.465096642 1
 
0.7%
0.4684923591 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.3271013459 1
0.7%
0.3315305872 1
0.7%
0.3320825725 1
0.7%
0.333644943 1
0.7%
0.3344187235 1
0.7%
0.3356018905 1
0.7%
0.3360172602 1
0.7%
0.3364949462 1
0.7%
0.3369819143 1
0.7%
0.3393419107 1
0.7%
ValueCountFrequency (%)
0.5582498968 1
0.7%
0.5566124711 1
0.7%
0.5562692926 1
0.7%
0.5538917926 1
0.7%
0.5479918459 1
0.7%
0.5468492497 1
0.7%
0.5459661068 1
0.7%
0.5440664548 1
0.7%
0.5424422571 1
0.7%
0.5417663164 1
0.7%

Average_Temp
Real number (ℝ)

Distinct117
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.061111
Minimum-8
Maximum27.6
Zeros1
Zeros (%)0.7%
Negative26
Negative (%)18.1%
Memory size6.3 KiB
2023-09-01T11:24:32.851293image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-8
5-th percentile-3.37
Q12.85
median12.95
Q321.55
95-th percentile26.285
Maximum27.6
Range35.6
Interquartile range (IQR)18.7

Descriptive statistics

Standard deviation10.28711
Coefficient of variation (CV)0.85291561
Kurtosis-1.332658
Mean12.061111
Median Absolute Deviation (MAD)8.95
Skewness-0.1349862
Sum1736.8
Variance105.82463
MonotonicityNot monotonic
2023-09-01T11:24:32.922088image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.1 4
 
2.8%
0.6 3
 
2.1%
25.7 3
 
2.1%
19.6 3
 
2.1%
18.5 3
 
2.1%
-2.5 3
 
2.1%
25 2
 
1.4%
25.5 2
 
1.4%
-0.1 2
 
1.4%
5.9 2
 
1.4%
Other values (107) 117
81.2%
ValueCountFrequency (%)
-8 1
0.7%
-5.5 1
0.7%
-5 2
1.4%
-4.7 1
0.7%
-3.7 1
0.7%
-3.6 1
0.7%
-3.4 1
0.7%
-3.2 1
0.7%
-2.8 1
0.7%
-2.7 1
0.7%
ValueCountFrequency (%)
27.6 1
0.7%
27.2 1
0.7%
26.8 2
1.4%
26.6 1
0.7%
26.5 1
0.7%
26.4 1
0.7%
26.3 1
0.7%
26.2 1
0.7%
26.1 1
0.7%
26 1
0.7%

Monthly_Rainfall
Real number (ℝ)

Distinct136
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.003472
Minimum1.7
Maximum603.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:32.999907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile11.22
Q128.725
median60.5
Q3114.7
95-th percentile351.135
Maximum603.9
Range602.2
Interquartile range (IQR)85.975

Descriptive statistics

Standard deviation111.10845
Coefficient of variation (CV)1.1222683
Kurtosis4.7450077
Mean99.003472
Median Absolute Deviation (MAD)37.25
Skewness2.1235134
Sum14256.5
Variance12345.088
MonotonicityNot monotonic
2023-09-01T11:24:33.071785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.3 2
 
1.4%
44 2
 
1.4%
15.6 2
 
1.4%
48 2
 
1.4%
60.2 2
 
1.4%
102.6 2
 
1.4%
22.9 2
 
1.4%
32.2 2
 
1.4%
75.1 1
 
0.7%
107.9 1
 
0.7%
Other values (126) 126
87.5%
ValueCountFrequency (%)
1.7 1
0.7%
1.8 1
0.7%
2.7 1
0.7%
4.1 1
0.7%
5.6 1
0.7%
9.6 1
0.7%
10.7 1
0.7%
11.1 1
0.7%
11.9 1
0.7%
12.1 1
0.7%
ValueCountFrequency (%)
603.9 1
0.7%
505.6 1
0.7%
464.3 1
0.7%
452.6 1
0.7%
403.3 1
0.7%
374.4 1
0.7%
353.3 1
0.7%
352.2 1
0.7%
345.1 1
0.7%
310.7 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.3125
Minimum45
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:33.143178image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile52.15
Q159
median67
Q374
95-th percentile79
Maximum85
Range40
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8186617
Coefficient of variation (CV)0.13298642
Kurtosis-0.98720256
Mean66.3125
Median Absolute Deviation (MAD)8
Skewness-0.15205586
Sum9549
Variance77.768794
MonotonicityNot monotonic
2023-09-01T11:24:33.210140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
72 8
 
5.6%
75 7
 
4.9%
64 7
 
4.9%
60 7
 
4.9%
59 7
 
4.9%
70 7
 
4.9%
77 6
 
4.2%
67 6
 
4.2%
69 6
 
4.2%
79 5
 
3.5%
Other values (24) 78
54.2%
ValueCountFrequency (%)
45 1
 
0.7%
48 1
 
0.7%
51 2
 
1.4%
52 4
2.8%
53 3
2.1%
54 5
3.5%
55 5
3.5%
56 3
2.1%
57 5
3.5%
58 4
2.8%
ValueCountFrequency (%)
85 1
 
0.7%
81 1
 
0.7%
80 4
2.8%
79 5
3.5%
78 4
2.8%
77 6
4.2%
76 5
3.5%
75 7
4.9%
74 5
3.5%
73 3
2.1%

Ground_Temp
Real number (ℝ)

Distinct112
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.04375
Minimum-4.1
Maximum32
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)10.4%
Memory size6.3 KiB
2023-09-01T11:24:33.287551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-4.1
5-th percentile-1.085
Q14.75
median14.45
Q324.1
95-th percentile28.07
Maximum32
Range36.1
Interquartile range (IQR)19.35

Descriptive statistics

Standard deviation10.643332
Coefficient of variation (CV)0.75786967
Kurtosis-1.4325192
Mean14.04375
Median Absolute Deviation (MAD)9.95
Skewness-0.037830707
Sum2022.3
Variance113.28052
MonotonicityNot monotonic
2023-09-01T11:24:33.366707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3
 
2.1%
0.4 3
 
2.1%
27.3 3
 
2.1%
27.9 3
 
2.1%
30.4 2
 
1.4%
15 2
 
1.4%
27.8 2
 
1.4%
-0.8 2
 
1.4%
7.7 2
 
1.4%
20.1 2
 
1.4%
Other values (102) 120
83.3%
ValueCountFrequency (%)
-4.1 1
0.7%
-2.7 1
0.7%
-2.4 1
0.7%
-1.7 1
0.7%
-1.5 1
0.7%
-1.4 1
0.7%
-1.2 1
0.7%
-1.1 1
0.7%
-1 1
0.7%
-0.9 1
0.7%
ValueCountFrequency (%)
32 1
 
0.7%
31.5 1
 
0.7%
30.4 2
1.4%
28.5 1
 
0.7%
28.3 1
 
0.7%
28.2 1
 
0.7%
28.1 1
 
0.7%
27.9 3
2.1%
27.8 2
1.4%
27.6 2
1.4%

Average_Wind
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4979167
Minimum1
Maximum2.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:33.431363image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q11.3
median1.45
Q31.7
95-th percentile1.985
Maximum2.2
Range1.2
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.26509498
Coefficient of variation (CV)0.17697579
Kurtosis-0.099231999
Mean1.4979167
Median Absolute Deviation (MAD)0.15
Skewness0.52523401
Sum215.7
Variance0.07027535
MonotonicityNot monotonic
2023-09-01T11:24:33.495627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.4 24
16.7%
1.3 23
16.0%
1.6 17
11.8%
1.2 16
11.1%
1.7 16
11.1%
1.5 14
9.7%
1.8 12
8.3%
1.1 6
 
4.2%
1.9 5
 
3.5%
2.1 3
 
2.1%
Other values (3) 8
 
5.6%
ValueCountFrequency (%)
1 3
 
2.1%
1.1 6
 
4.2%
1.2 16
11.1%
1.3 23
16.0%
1.4 24
16.7%
1.5 14
9.7%
1.6 17
11.8%
1.7 16
11.1%
1.8 12
8.3%
1.9 5
 
3.5%
ValueCountFrequency (%)
2.2 3
 
2.1%
2.1 3
 
2.1%
2 2
 
1.4%
1.9 5
 
3.5%
1.8 12
8.3%
1.7 16
11.1%
1.6 17
11.8%
1.5 14
9.7%
1.4 24
16.7%
1.3 23
16.0%

Average_Pressure
Real number (ℝ)

Distinct99
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1002.9486
Minimum992.9
Maximum1013.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:24:33.570106image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum992.9
5-th percentile993.8
Q1996.55
median1003.7
Q31009.025
95-th percentile1011.585
Maximum1013.2
Range20.3
Interquartile range (IQR)12.475

Descriptive statistics

Standard deviation6.3053201
Coefficient of variation (CV)0.0062867828
Kurtosis-1.4249066
Mean1002.9486
Median Absolute Deviation (MAD)5.8
Skewness-0.10618104
Sum144424.6
Variance39.757061
MonotonicityNot monotonic
2023-09-01T11:24:33.646484image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1008 4
 
2.8%
1000.6 3
 
2.1%
995.9 3
 
2.1%
1010.9 3
 
2.1%
1000.4 3
 
2.1%
1007.4 3
 
2.1%
994.9 3
 
2.1%
1005.5 3
 
2.1%
998.9 2
 
1.4%
1010.3 2
 
1.4%
Other values (89) 115
79.9%
ValueCountFrequency (%)
992.9 1
0.7%
993 2
1.4%
993.2 1
0.7%
993.3 2
1.4%
993.4 1
0.7%
993.8 2
1.4%
993.9 1
0.7%
994 2
1.4%
994.1 1
0.7%
994.2 1
0.7%
ValueCountFrequency (%)
1013.2 1
0.7%
1013.1 1
0.7%
1012.7 1
0.7%
1012.5 1
0.7%
1012 1
0.7%
1011.9 2
1.4%
1011.6 1
0.7%
1011.5 1
0.7%
1011.4 2
1.4%
1011.1 1
0.7%

Interactions

2023-09-01T11:24:27.317083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:43.375419image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.613850image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:47.965843image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.841551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.698600image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.829306image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.254410image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:57.968097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.739340image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:02.147603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.747315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.393268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:07.087628image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.699795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.752405image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.325439image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:13.935765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.630886image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.219091image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:19.263398image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.852655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.443894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:24.093047image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.704758image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.388927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:43.501013image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.692536image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:48.037188image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.919009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.776541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.932499image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.329930image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:58.035941image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.829427image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:02.219619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.812229image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.466091image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:07.164122image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.766716image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.820118image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.392967image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:14.004595image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.700823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.292579image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:19.336056image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.920029image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.514575image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:24.160777image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.769807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.453353image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:43.565547image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.769222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:48.098037image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:50.004780image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.852499image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:54.003279image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.391836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:58.095077image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.904191image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:02.289969image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.872305image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.530877image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:07.222805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.825414image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.878475image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.451626image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:14.061597image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.759815image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.350395image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:19.407030image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.978634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.574997image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:24.216655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.825300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.518050image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:43.637176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.840389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:48.164187image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:50.074635image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.916009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:54.529408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.456949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:58.154472image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.984084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:02.356686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.930596image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.593302image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:07.283868image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.887827image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.945262image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.511252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:14.119948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.819771image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.410010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:19.465170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:21.041965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.643795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:24.276357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.884207image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.582394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:43.719656image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-09-01T11:23:47.226532image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.373392image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.331789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.343945image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:55.874803image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:57.609140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.310511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:01.786255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.434790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.020915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:06.747538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.363516image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.400003image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.008719image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:13.605139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.245668image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:16.907343image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:18.450681image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.527776image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.112777image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:23.745005image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.370718image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:26.987059image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:28.708819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.192859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:47.302311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.440872image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.396963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.418785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:55.942276image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:57.676288image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.390175image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:01.851211image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.495874image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.085019image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:06.819669image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.427064image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.465271image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.068499image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:13.667517image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.307189image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:16.971027image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:18.511109image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.591194image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.175167image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:23.820613image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.434343image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.048249image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:28.780903image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.298790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:47.384603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.556487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.478220image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.582351image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.013686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:57.743833image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.476740image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:01.922508image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.559290image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.157238image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:06.888144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.501110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.532295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.131269image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:13.733608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.391691image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.035439image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:18.577133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.658107image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.242411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:23.887692image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.502743image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.114451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:28.849220image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.405998image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:47.455806image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.636396image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.559063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.677144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.101980image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:57.813996image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.559453image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:01.993503image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.622154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.224500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:06.955114image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.565765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.615247image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.195685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:13.806334image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.455833image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.096488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:18.635762image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.721917image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.312291image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:23.955582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.567859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.179581image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:28.916821image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:45.516157image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:47.885132image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:49.717739image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:51.624992image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:53.745345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:56.176835image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:57.883501image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:23:59.654221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:02.074891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:03.680375image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:05.285974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:07.018047image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:08.630875image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:10.679598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:12.259573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:13.870618image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:15.520316image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:17.155867image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:19.199868image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:20.782389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:22.375206image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:24.022256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:25.631305image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:24:27.241862image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T11:24:33.732167image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.0000.6470.909-0.9100.7210.5120.7980.9080.8410.8810.4610.8130.6900.3350.7140.8950.3830.9090.9070.101-0.0230.0900.153-0.239-0.042
Total_Population0.6471.0000.491-0.4870.9860.9800.3420.4840.5040.4620.0500.3770.1660.5110.2400.5040.6620.4890.4860.045-0.115-0.1410.073-0.0630.001
Households0.9090.4911.000-0.9990.5890.3320.8970.9980.8670.9710.5580.9030.7880.1440.7960.9910.3070.9970.9970.048-0.0400.1360.091-0.2780.023
Population_per_Households-0.910-0.487-0.9991.000-0.585-0.328-0.897-0.999-0.867-0.973-0.559-0.904-0.787-0.139-0.794-0.990-0.310-0.998-0.998-0.0470.040-0.133-0.0910.276-0.024
Male_Population0.7210.9860.589-0.5851.0000.9440.4650.5820.5870.5630.1520.4830.2870.5160.3530.6020.6260.5860.5840.054-0.111-0.1130.087-0.1110.001
Female_Population0.5120.9800.332-0.3280.9441.0000.1770.3250.3760.305-0.0790.2070.0080.5260.0930.3470.6670.3300.3270.025-0.126-0.1780.044-0.0160.013
Male_Female_Ratio0.7980.3420.897-0.8970.4650.1771.0000.8950.7640.8850.6270.8480.8820.1900.8380.8960.0950.8960.8980.086-0.0060.1690.125-0.309-0.013
Population_aging_Ratio0.9080.4840.998-0.9990.5820.3250.8951.0000.8690.9720.5650.9020.7870.1380.7940.9900.3100.9970.9970.038-0.0440.1210.082-0.2630.031
Power_usage0.8410.5040.867-0.8670.5870.3760.7640.8691.0000.8100.5070.7940.7020.2290.7160.8550.2960.8540.854-0.291-0.255-0.058-0.257-0.2320.315
Num_of_Business0.8810.4620.971-0.9730.5630.3050.8850.9720.8101.0000.5860.8880.7640.1570.7980.9610.3060.9730.9740.1150.0210.1840.162-0.289-0.027
Business_above_1000.4610.0500.558-0.5590.152-0.0790.6270.5650.5070.5861.0000.6580.5640.0350.5320.540-0.0280.5650.565-0.0070.0030.1090.032-0.2120.042
complex_area0.8130.3770.903-0.9040.4830.2070.8480.9020.7940.8880.6581.0000.7430.1490.8220.9000.2660.9030.9030.024-0.0440.1450.075-0.3050.041
annual_household_income0.6900.1660.788-0.7870.2870.0080.8820.7870.7020.7640.5640.7431.0000.1540.8040.794-0.2170.7830.7850.0080.0180.1620.042-0.2490.013
High_School_Graduate_num0.3350.5110.144-0.1390.5160.5260.1900.1380.2290.1570.0350.1490.1541.0000.4550.1700.2100.1450.141-0.009-0.011-0.1170.005-0.0180.018
High_School_Graduate_ratio0.7140.2400.796-0.7940.3530.0930.8380.7940.7160.7980.5320.8220.8040.4551.0000.8070.0950.7910.7910.007-0.0030.1030.045-0.2330.024
personal_expense0.8950.5040.991-0.9900.6020.3470.8960.9900.8550.9610.5400.9000.7940.1700.8071.0000.2890.9870.9880.056-0.0350.0880.099-0.2290.001
benefits_vs_personal_expense0.3830.6620.307-0.3100.6260.6670.0950.3100.2960.306-0.0280.266-0.2170.2100.0950.2891.0000.3170.3130.048-0.120-0.1430.066-0.001-0.006
employment_ratio0.9090.4890.997-0.9980.5860.3300.8960.9970.8540.9730.5650.9030.7830.1450.7910.9870.3171.0000.9990.064-0.0290.1460.109-0.2820.010
employment_insurance_ratio0.9070.4860.997-0.9980.5840.3270.8980.9970.8540.9740.5650.9030.7850.1410.7910.9880.3130.9991.0000.060-0.0300.1390.104-0.2790.014
Average_Temp0.1010.0450.048-0.0470.0540.0250.0860.038-0.2910.115-0.0070.0240.008-0.0090.0070.0560.0480.0640.0601.0000.7370.4560.9920.011-0.913
Monthly_Rainfall-0.023-0.115-0.0400.040-0.111-0.126-0.006-0.044-0.2550.0210.003-0.0440.018-0.011-0.003-0.035-0.120-0.029-0.0300.7371.0000.5300.7080.043-0.694
Average_Relative_Humadity0.090-0.1410.136-0.133-0.113-0.1780.1690.121-0.0580.1840.1090.1450.162-0.1170.1030.088-0.1430.1460.1390.4560.5301.0000.442-0.674-0.242
Ground_Temp0.1530.0730.091-0.0910.0870.0440.1250.082-0.2570.1620.0320.0750.0420.0050.0450.0990.0660.1090.1040.9920.7080.4421.0000.005-0.910
Average_Wind-0.239-0.063-0.2780.276-0.111-0.016-0.309-0.263-0.232-0.289-0.212-0.305-0.249-0.018-0.233-0.229-0.001-0.282-0.2790.0110.043-0.6740.0051.000-0.258
Average_Pressure-0.0420.0010.023-0.0240.0010.013-0.0130.0310.315-0.0270.0420.0410.0130.0180.0240.001-0.0060.0100.014-0.913-0.694-0.242-0.910-0.2581.000

Missing values

2023-09-01T11:24:29.039514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T11:24:29.237068image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-0130734.90322689752.036506.02.45855546937.042815.01.09627515.5195381000.03763.071.05678870.0803.0632.00.57350328730466.039.929358.00.327101-5.544.369.0-2.71.31010.2
2010-02-0130634.82142989678.036551.02.45350346951.042727.01.09886015.6180477000.03667.071.05678870.0803.0632.00.57350328730466.039.929731.00.3315310.570.866.01.11.41007.4
2010-03-0129172.12903289812.036645.02.45086647030.042782.01.09929415.7174767000.03922.072.05678870.0803.0632.00.57350328730466.039.929825.00.3320834.385.363.05.22.01006.4
2010-04-0129105.03333389856.036761.02.44433047051.042805.01.09919415.7176106000.04239.076.05678870.0803.0632.00.57350328730466.039.929980.00.3336459.469.555.010.22.11004.3
2010-05-0129277.61290389983.036894.02.43896047161.042822.01.10132615.7160532000.03990.077.05678870.0803.0632.00.57350328730466.039.930092.00.33441917.297.060.018.01.8997.6
2010-06-0131419.33333389925.036863.02.43943847121.042804.01.10085515.7159697000.04185.078.05678870.0803.0632.00.57350328730466.039.930179.00.33560222.950.665.025.21.4996.6
2010-07-0131047.70967789918.036926.02.43508647135.042783.01.10172315.7166191000.03797.077.05678870.0803.0632.00.57350328730466.039.930214.00.33601725.7112.276.027.31.4995.1
2010-08-0131517.77419489933.036939.02.43463547104.042829.01.09981615.8166837000.03971.080.05678870.0803.0632.00.57350328730466.039.930262.00.33649526.8345.180.028.51.3997.7
2010-09-0131469.60000089927.036944.02.43414447109.042818.01.10021515.8163132000.04074.081.05810698.0803.0632.00.57350328730466.039.930516.00.33934221.1287.879.023.81.31000.6
2010-10-0131508.70967790664.037635.02.40903447567.043097.01.10372015.9157674000.04232.087.05810698.0803.0632.00.57350328730466.039.930821.00.33994713.121.076.015.81.21005.8
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-0159362.19354892407.046767.01.97590248982.043425.01.12796821.8264220891.08332.086.012425561.01299.0565.00.74636753581596.044.350063.00.5417668.180.564.09.61.61006.1
2021-04-0160555.86666792349.046825.01.97221648943.043406.01.12756321.9253652238.08711.084.012425185.01299.0565.00.74636753581596.044.350094.00.54244213.163.454.014.71.91004.8
2021-05-0160748.77419492213.046805.01.97015348822.043391.01.12516422.0240946460.08222.085.012425185.01299.0565.00.74636753581596.044.350170.00.54406616.2178.471.018.81.6996.0
2021-06-0164547.26666792232.046893.01.96686148812.043420.01.12418222.1250732969.09721.084.012424362.01299.0565.00.74636753581596.044.350437.00.54684922.1130.473.025.31.4994.8
2021-07-0167640.12903292231.046994.01.96261248802.043429.01.12371922.1262191511.011545.086.012427876.01299.0565.00.74636753581596.044.350355.00.54596626.4310.777.030.41.3995.4
2021-08-0166023.74193592224.047074.01.95912848801.043423.01.12385122.2263399530.011989.087.012426170.01299.0565.00.74636753581596.044.350538.00.54799224.4239.980.027.51.3995.8
2021-09-0165452.36666792027.047052.01.95585748723.043304.01.12513922.3249464491.08574.084.012426170.01299.0565.00.74636753581596.044.350973.00.55389221.0240.378.023.51.41000.7
2021-10-0163964.12903292004.047145.01.95151148741.043263.01.12662122.5238395884.09547.085.012426073.01299.0565.00.74636753581596.044.351179.00.55626913.845.580.016.71.01008.0
2021-11-0162814.23333392086.047319.01.94606848796.043290.01.12718922.5263455752.011434.087.012425142.01299.0565.00.74636753581596.044.351407.00.5582506.444.975.07.91.21005.5
2021-12-0164325.29032392197.047431.01.94381348883.043314.01.12857322.5286903693.08908.087.012280216.01299.0565.00.74636753581596.044.351318.00.556612-0.55.669.01.41.21010.4